Vortrag-Martin.tex 2.6 KB

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  1. \documentclass[hyperref={pdfpagelabels=false},usepdftitle=false]{beamer}
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  9. \usepackage{tikz}
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  35. {%
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  55. % End:Move navigation from top to bottom
  56. \begin{document}
  57. \title{Art in Machine Learning}
  58. \subtitle{\href{https://github.com/MartinThoma/}{github.com/MartinThoma/}}
  59. \author{Martin Thoma}
  60. \date{15. Januar 2016}
  61. \subject{Machine Learning}
  62. \frame{\titlepage}
  63. \section{Examples}
  64. \subsection{Examples}
  65. \framedgraphiconly{0099.jpg}
  66. \section{ML-Basics}
  67. \subsection{ML-Basics}
  68. \begin{frame}{Was ist Machine Learning?}
  69. \begin{block}{Definition by Tom Mitchell: ML}
  70. A computer program is said to learn from \textbf{experience} $E$ with
  71. respect to some class of \textbf{tasks} $T$ and \textbf{performance
  72. measure} $P$, if its performance at tasks in $T$, as measured by $P$,
  73. improves with experience $E$.
  74. \end{block}
  75. \end{frame}
  76. \end{document}